Server data from the Official MCP Registry
用於取得臺灣中央氣象署 API 資料的 Model Context Protocol (MCP) Server
用於取得臺灣中央氣象署 API 資料的 Model Context Protocol (MCP) Server
Valid MCP server (2 strong, 4 medium validity signals). 6 known CVEs in dependencies (0 critical, 4 high severity) Imported from the Official MCP Registry. 1 finding(s) downgraded by scanner intelligence.
9 files analyzed · 7 issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
This plugin requests these system permissions. Most are normal for its category.
Set these up before or after installing:
Environment variable: CWA_API_KEY
Add this to your MCP configuration file:
{
"mcpServers": {
"io-github-gonetone-mcp-server-taiwan-weather": {
"env": {
"CWA_API_KEY": "your-cwa-api-key-here"
},
"args": [
"-y",
"@gonetone/mcp-server-taiwan-weather"
],
"command": "npx"
}
}
}From the project's GitHub README.
用於取得臺灣中央氣象署 API 資料的 Model Context Protocol (MCP) Server。
MCP 是一個開放協議,它標準化了應用程式如何為大型語言模型 (LLMs) 提供上下文。可以將 MCP 想像成 AI 應用程式的 USB-C 接口。就像 USB-C 為您的設備提供了一種標準化的方式來連接各種外圍設備和配件,MCP 提供了一種標準化的方式來將 AI 模型連接到不同的數據源和工具。
詳細介紹請參考 Model Context Protocol 官方頁面。
get_taiwan_weather_forecast
locationName (string): 臺灣縣市名稱F-C0032-001 資料 Json (key records)您必須先取得臺灣中央氣象署 API 授權碼:
要在 Claude Desktop 中使用,請將以下內容添加到您的 claude_desktop_config.json:
{
"mcpServers": {
"taiwan-weather": {
"command": "npx",
"args": [
"-y",
"@gonetone/mcp-server-taiwan-weather"
],
"env": {
"CWA_API_KEY": "<您的中央氣象署 API 授權碼>"
}
}
}
}
如果要在其他支援 MCP 的應用程式中使用,請參考該應用程式的設定文件。
如果在 Windows 上使用 npx 執行 MCP Server 時無法執行,可以改用以下其中一個方法嘗試:
配置改用 cmd 執行 npx:
{
"mcpServers": {
"taiwan-weather": {
"command": "cmd",
"args": [
"/c",
"npx",
"-y",
"@gonetone/mcp-server-taiwan-weather"
],
"env": {
"CWA_API_KEY": "<您的中央氣象署 API 授權碼>"
}
}
}
}
node 執行將 @gonetone/mcp-server-taiwan-weather 全域安裝:
npm install -g @gonetone/mcp-server-taiwan-weather
然後配置改用 node 執行:
{
"mcpServers": {
"taiwan-weather": {
"command": "node",
"args": [
"<your-path>/node_modules/@gonetone/mcp-server-taiwan-weather"
],
"env": {
"CWA_API_KEY": "<您的中央氣象署 API 授權碼>"
}
}
}
}
您可以使用 npm root -g 指令來查看全域安裝的 node_modules 目錄路徑。
Issues 和 Pull requests 可以在 GitHub 上的 https://github.com/GoneTone/mcp-server-taiwan-weather 提出。
yarn build
可以使用 MCP Inspector 來測試 MCP Server:
npx -y @modelcontextprotocol/inspector -e CWA_API_KEY={您的中央氣象署 API 授權碼} node .
詳情請參考 MCP Inspector 官方頁面。
This MCP server is licensed under the MIT License. This means you are free to use, modify, and distribute the software, subject to the terms and conditions of the MIT License. For more details, please see the LICENSE file in the project repository.
Be the first to review this server!
by Modelcontextprotocol · Developer Tools
Read, search, and manipulate Git repositories programmatically
by Toleno · Developer Tools
Toleno Network MCP Server — Manage your Toleno mining account with Claude AI using natural language.
by mcp-marketplace · Developer Tools
Create, build, and publish Python MCP servers to PyPI — conversationally.
by Microsoft · Content & Media
Convert files (PDF, Word, Excel, images, audio) to Markdown for LLM consumption
by mcp-marketplace · Developer Tools
Scaffold, build, and publish TypeScript MCP servers to npm — conversationally
by mcp-marketplace · Finance
Free stock data and market news for any MCP-compatible AI assistant.